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Journal of Applied Sciences

Year: 2013 | Volume: 13 | Issue: 21 | Page No.: 4449-4455
DOI: 10.3923/jas.2013.4449.4455
Process Variables Optimization Matching Based on the Stamping Forming Quality Index
Yanping Zheng, Gai Yan and Zhengang He

Abstract: The study proposes that stamping forming quality index should include defect quality index and thickness variation uniformity quality index and different types of stamping parts focus on different defect quality index .Moreover, the fracture and wrinkle quality index can be demonstrated by the distance between the major strain of the simulation unit and the critical curve of the fracture and wrinkle trend in FLD, while thickness variation uniformity quality index can be expressed by variance of sheet metal thinning rate. It takes the automobile back plate reinforcement as the example, select stamping quality index as optimization objectives and constraint conditions based on numerical simulation technology, then apply the technical means that contain with orthogonal test design, neural network and genetic algorithm to optimize the process variables. The result indicates that the method of this study is feasible and effective and has application value in engineering.

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How to cite this article
Yanping Zheng, Gai Yan and Zhengang He, 2013. Process Variables Optimization Matching Based on the Stamping Forming Quality Index. Journal of Applied Sciences, 13: 4449-4455.

Keywords: Stamping forming, quality index, process variables, optimization matching and numerical simulation

REFERENCES

  • An, Z.G., 2009. Application of radial basis function metamodel for optimization of sheet metal forming. Ph.D. Thesis, Chongqing University, Chongqing, China.


  • Chen, W.L., Z.J. Li and S.Y. Wang, 2011. Numerical simulation and parameter optimizing of the stamping forming process of auto front panel. J. Netshape Forming Eng., 3: 15-19.
    Direct Link    


  • Kayabasi, O. and B. Ekici, 2007. Automated design methodology for automobile side panel die using an effective optimization approach. Mater. Des., 28: 2665-2672.
    CrossRef    


  • Ko, D.C., S.H. Cha, S.K. Lee, C.J. Lee and B.M. Kim, 2010. Application of a feasible formability diagram for the effective design in stamping processes of automotive panels. Mater. Des., 31: 1262-1275.
    CrossRef    


  • Li, S.Y., J. Zhou, Z.R. Jiang and W.S. Wang, 2011. Numerical simulation and optimization of a car's front carling based on Dynaform. Hot Working Technol., 19: 96-98.


  • Liu, W. and Y. Yang, 2008. Multi-objective optimization of sheet metal forming process using Pareto-based genetic algorithm. J. Mater. Process. Technol., 208: 499-506.
    CrossRef    


  • Zhao, P., Z. Peng, X. Kong and C. Zou, 2007. Study on the structure of hydrogen permeation barrier on the surface of zirconium hydride substrate. J. Xihua Univ. Nat. Sci. Edn., 26: 1-3.


  • Wei, D., Z. Cui and J. Chen, 2008. Optimization and tolerance prediction of sheet metal forming process using response surface model. Comput. Mater. Sci., 42: 228-233.
    CrossRef    


  • Xu, Y.Q., K.M. Xue, K. Zhou and P. Li, 2009. The spring back control of a car plate based on the intelligent optimization. J. Plasticity Eng., 5: 64-69.


  • Zhou, T.A., Y. Feng and F. Ruan, 2009. Simulation and optimization of the stamp forming of multi-curvature component based on orthogonal experiment. Mould Ind., 12: 14-18.

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